Evidence for a multi-peak adaptive landscape in the evolution of trophic morphology in terapontid fishes

Davis, Aaron M., Unmack, Peter J., Pusey, Bradley J., Pearson, Richard G., and Morgan, David L. (2014) Evidence for a multi-peak adaptive landscape in the evolution of trophic morphology in terapontid fishes. Biological Journal of the Linnean Society, 113 (2). pp. 623-634.

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Abstract

Using the Australian marine-freshwater terapontid fishes as a model system, we examined the role of dietary phenotypic optima in an adaptive macro-evolutionary landscape. Comparative modelling relying on both a priori and data-driven identification of selective regimes suggested multi-peak models as best describing much of the dietary phenotypic landscape of terapontids. Both approaches identified common phenotypic optima for different lineages of marine and freshwater herbivores, and minimal differentiation between carnivores and omnivores, irrespective of their phylogenetic relationships, as the model best describing morphological evolution. Significant correlations also existed between these phenotypic axes and proportions of non-animal dietary items in species' diets. While simulation results provided evidence for a multi-peak adaptive landscape in the evolution of trophic morphology in terapontids, they could not rule out chance convergence in these adaptive peaks. However, they do provide scope for identifying areas for more detailed, functionally specific study of phenotypic convergence in herbivorous terapontid trophic habits.

Item ID: 35738
Item Type: Article (Research - C1)
ISSN: 1095-8312
Keywords: adaptive regime, convergence, ecomorphology, herbivory, marine-freshwater interface, phenotypic optima, trophic ecology
Funders: Natural Heritage Trust National Competitive Component, Australian Government, Land and Water Australia, W. M. Keck Foundation, R. M. Parsons Foundation, Natural History Museum of Los Angeles County, Australian Government's Collaborative Research Networks Program
Date Deposited: 12 Nov 2014 04:23
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 100%
SEO Codes: 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems @ 100%
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